public class KinshipPlugin
extends AbstractPlugin
public KinshipPlugin(java.awt.Frame parentFrame,
boolean isInteractive)
protected void preProcessParameters(DataSet input)
public void setParameters(java.lang.String[] args)
public java.lang.String pluginUserManualURL()
public javax.swing.ImageIcon getIcon()
public java.lang.String getButtonName()
public java.lang.String getToolTipText()
public DistanceMatrix runPlugin(DataSet input)
Convenience method to run plugin with one return object.
public DistanceMatrix runPlugin(GenotypeTable input)
Convenience method to run plugin with one return object.
public net.maizegenetics.analysis.distance.KinshipPlugin.KINSHIP_METHOD kinshipMethod()
The scaled_IBS method produces a kinship matrix that is scaled to give a reasonable estimate of additive genetic variance. The pairwise_IBS method, which is the method used by TASSEL ver.4, may result in an inflated estimate of genetic variance. Either will do a good job of controlling population structure in MLM. The pedigree method is used to calculate a kinship matrix from a pedigree information.
public KinshipPlugin kinshipMethod(net.maizegenetics.analysis.distance.KinshipPlugin.KINSHIP_METHOD value)
Set Kinship method. The scaled_IBS method produces a kinship matrix that is scaled to give a reasonable estimate of additive genetic variance. The pairwise_IBS method, which is the method used by TASSEL ver.4, may result in an inflated estimate of genetic variance. Either will do a good job of controlling population structure in MLM. The pedigree method is used to calculate a kinship matrix from a pedigree information.
value - Kinship methodpublic java.lang.Integer maxAlleles()
Max Alleles
public KinshipPlugin maxAlleles(java.lang.Integer value)
Set Max Alleles. Max Alleles
value - Max Allelespublic net.maizegenetics.analysis.distance.KinshipPlugin.ALGORITHM_VARIATION algorithmVariation()
Algorithm Variation
public KinshipPlugin algorithmVariation(net.maizegenetics.analysis.distance.KinshipPlugin.ALGORITHM_VARIATION value)
Set Algorithm Variation. Algorithm Variation
value - Algorithm Variation